Exploiting social context for review quality prediction
Proceedings of the 19th international conference on World wide web
Incremental template updating for face recognition in home environments
Pattern Recognition
Learning classifier system using both labeled and unlabeled data
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Semi-supervised sequence classification using abstraction augmented Markov models
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Feature selection in the Laplacian support vector machine
Computational Statistics & Data Analysis
Topic aspect analysis for multi-document summarization
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
On-line multi-view forests for tracking
Proceedings of the 32nd DAGM conference on Pattern recognition
A misleading attack against semi-supervised learning for intrusion detection
MDAI'10 Proceedings of the 7th international conference on Modeling decisions for artificial intelligence
Semi-supervised genetic programming for classification
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Joint bilingual sentiment classification with unlabeled parallel corpora
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Laplacian Support Vector Machines Trained in the Primal
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Graph Laplacian for semi-supervised feature selection in regression problems
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Proceedings of the 13th international conference on Ubiquitous computing
Semi-supervised learning for mixed-type data via formal concept analysis
ICCS'11 Proceedings of the 19th international conference on Conceptual structures for discovering knowledge
Concurrent semi-supervised learning of data streams
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
C3E: a framework for combining ensembles of classifiers and clusterers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
MICCAI'11 Proceedings of the 2011 international conference on Prostate cancer imaging: image analysis and image-guided interventions
Speedy local search for semi-supervised regularized least-squares
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Two classes of algorithms for data clustering
IUKM'11 Proceedings of the 2011 international conference on Integrated uncertainty in knowledge modelling and decision making
Can irrelevant data help semi-supervised learning, why and how?
Proceedings of the 20th ACM international conference on Information and knowledge management
Expert Systems with Applications: An International Journal
Unsupervised Supervised Learning II: Margin-Based Classification Without Labels
The Journal of Machine Learning Research
Unsupervised Weight Parameter Estimation Method for Ensemble Learning
Journal of Mathematical Modelling and Algorithms
Conceptual views for entity-centric search: turning data into meaningful concepts
Computer Science - Research and Development
Bayesian locality sensitive hashing for fast similarity search
Proceedings of the VLDB Endowment
mPuff: automated detection of cigarette smoking puffs from respiration measurements
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Foundations and Trends® in Computer Graphics and Vision
Semi-supervised linear discriminant analysis using moment constraints
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Semi-supervised training set adaption to unknown countries for traffic sign classifiers
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Sink web pages in web application
PSL'11 Proceedings of the First IAPR TC3 conference on Partially Supervised Learning
Semi-supervised classification using tree-based self-organizing maps
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Gene Classification Using Parameter-Free Semi-Supervised Manifold Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A probabilistic approach for semi-supervised nearest neighbor classification
Pattern Recognition Letters
Exploring extensive linguistic feature sets in near-synonym lexical choice
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Artificial immune system for illicit content identification in social media
Journal of the American Society for Information Science and Technology
Semi-supervised learning from a translation model between data distributions
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Learning driving behavior by timed syntactic pattern recognition
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Enhanced semi-supervised local Fisher discriminant analysis for face recognition
Future Generation Computer Systems
Identifying Linux bug fixing patches
Proceedings of the 34th International Conference on Software Engineering
Review of statistical network analysis: models, algorithms, and software
Statistical Analysis and Data Mining
A semi-supervised approach to modeling web search satisfaction
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Semi-supervised vehicle recognition: an approximate region constrained approach
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
On achieving semi-supervised pattern recognition by utilizing tree-based SOMs
Pattern Recognition
Journal of Biomedical Informatics
Experiments on hybrid corpus-based sentiment lexicon acquisition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Towards scalable speech act recognition in Twitter: tackling insufficient training data
Proceedings of the Workshop on Semantic Analysis in Social Media
Computer Methods and Programs in Biomedicine
A link-analysis-based discriminant analysis for exploring partially labeled graphs
Pattern Recognition Letters
Bidirectional semi-supervised learning with graphs
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Traffic sign classifier adaption by semi-supervised co-training
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Sampling attack against active learning in adversarial environment
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Inductive clustering and twofold approximations in nearest neighbor clustering
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Constrained log-likelihood-based semi-supervised linear discriminant analysis
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Tag Ranking by Linear Relational Neighbourhood Propagation
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Semi-Supervised Policy Recommendation for Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Batch-Mode Active Learning with Semi-supervised Cluster Tree for Text Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Aggregation pheromone metaphor for semi-supervised classification
Pattern Recognition
Semi-supervised learning using greedy max-cut
The Journal of Machine Learning Research
A second order cone programming approach for semi-supervised learning
Pattern Recognition
Collaborative intelligence in knowledge based service planning
Expert Systems with Applications: An International Journal
Nonnegative Least-Squares Methods for the Classification of High-Dimensional Biological Data
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Improving Text Classification Accuracy by Training Label Cleaning
ACM Transactions on Information Systems (TOIS)
Secure semi-supervised vector quantization for dissimilarity data
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Semi-supervised learning with manifold fitted graphs
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Semi-supervised linear discriminant analysis through moment-constraint parameter estimation
Pattern Recognition Letters
Joint semi-supervised learning of Hidden Conditional Random Fields and Hidden Markov Models
Pattern Recognition Letters
Personal and Ubiquitous Computing
A two-phase hybrid of semi-supervised and active learning approach for sequence labeling
Intelligent Data Analysis
Semi-supervised text categorization: Exploiting unlabeled data using ensemble learning algorithms
Intelligent Data Analysis
Semi-supervised learning on closed set lattices
Intelligent Data Analysis
Semi-supervised projected model-based clustering
Data Mining and Knowledge Discovery
Hi-index | 0.00 |
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data is unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data is labeled.The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data is scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field.